SlideShare a Scribd company logo
Finding answers
through graph
visualization.
SAS founded in 2013 in Paris | http://linkurio.us | @linkurious
Introduction.
● Linkurious is a graph visualization startup.
● We help companies understand graph data.
● Linkurious Enterprise, an enterprise-ready
graph visualization application (out-of-the-box).
● Linkurious.js, a JS library to build custom graph
visualization applications.
● 200+ customers (NASA, French Ministry of
Finances, Cisco).
Graph dbs unlock
connected data.
● The graph schema is a natural fit for highly
connected, evolving datasets.
● Fast traversal performances.
● Languages dedicated to graph queries
(Cypher).
● Cybersecurity, medical research, fraud, anti-
terrorism, network management, etc.
But current tools are
not adapted.
● Traditional BI and data visualizations solutions
are not compatible with graph databases.
● Representing data as pie charts and histograms
doesn’t provide insights into connections.
● There are graph tools designed for
developers/data scientists but no tools for
business users.
We make graphs easy
to understand.
● Easy to use interfaces designed for non
technical users.
● Ability to uncover hidden relationships, explore
connections, extract insights.
● Compatible with graph dbs like Neo4j.
Anti-money laundering investigation: Swiss Leaks.
Background
Analysing the bank accounts and companies connected to Emilio Botin, Former
Executive Chairman of Spain’s Grupo Santander (learn more)
ICIJ is an international consortium
of data journalists.
Problem
Analyse financial records from
HSBC to find evidence of tax
fraud or corruption.
Benefit
The journalists are able to
analyse data to verify
wrongdoing quickly and
accurately.
Knowledge management @ NASA.
Background
Navigating the network of authors, documents, organizations and concepts
linked to “High pressure shutoff valve” (learn more)
NASA is the United States
government agency responsible
for the civilian space program.
Problem
Leverage an existing lessons
learned database to improve the
success of projects.
Benefit
More natural way to search
content results in better insights
derived from data.
Network management.
Background
View the impact of a server failure on the IT network (learn more)
US internet company in the retail
industry.
Problem
Impact of a failure in IT network is
hard to understand and to
communicate.
Benefit
Visualization helps communicate
complex results and drive
action.
Help people see and understand the connections in their data.
How it works.
Data sources
Ingest
Analyse
Business analysts
Build apps
Developers
● Compatible with Neo4j 2.X (and HA).
● Compatible with Windows/Linux/Mac (Java 8 or
later).
● Support of all modern browsers.
● Built with scalable robust open-source
technologies (Node.js, ElasticSearch).
● Linkurious Enterprise server provides a set of
high level services (search, security, graph
traversals, graph visualization) accessible via
REST API.
● Integrate graph visualizations into 3rd party
apps via a widget or via our linkurious.js JS
graph visualization library.
How it (really) works.
STORAGESERVER
Visualization API Search API Graph API
Security layer
Neo4j
FRONT-END
Widget linkurious.js
Security API
SEARCH
Elasticsearch
Linkurious Enterprise
Conclusion.
Question?
Ad

More Related Content

What's hot (20)

Linkurious SDK: Build enterprise-ready graph applications faster
Linkurious SDK: Build enterprise-ready graph applications fasterLinkurious SDK: Build enterprise-ready graph applications faster
Linkurious SDK: Build enterprise-ready graph applications faster
Linkurious
 
Neo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j Graph Data Platform: Making Your Data More IntelligentNeo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j
 
Fraudes Financières: Méthodes de Prévention et Détection
Fraudes Financières: Méthodes de Prévention et DétectionFraudes Financières: Méthodes de Prévention et Détection
Fraudes Financières: Méthodes de Prévention et Détection
Linkurious
 
Hacked: Threats, Trends and the Power of Connected Data
Hacked: Threats, Trends and the Power of Connected DataHacked: Threats, Trends and the Power of Connected Data
Hacked: Threats, Trends and the Power of Connected Data
Neo4j
 
An Overview of the Emerging Graph Landscape (Oct 2013)
An Overview of the Emerging Graph Landscape (Oct 2013)An Overview of the Emerging Graph Landscape (Oct 2013)
An Overview of the Emerging Graph Landscape (Oct 2013)
Emil Eifrem
 
Graph Intelligence: The Essentials for Cybersecurity
Graph Intelligence: The Essentials for CybersecurityGraph Intelligence: The Essentials for Cybersecurity
Graph Intelligence: The Essentials for Cybersecurity
Neo4j
 
Gartner Go to Market Strategy Assumptions
Gartner Go to Market Strategy AssumptionsGartner Go to Market Strategy Assumptions
Gartner Go to Market Strategy Assumptions
Four Quadrant LLC
 
Semantic Data Lake
Semantic Data LakeSemantic Data Lake
Semantic Data Lake
Dickson Lukose
 
Applications of Big Data Techniques for Social Analytics
Applications of Big Data Techniques for Social Analytics Applications of Big Data Techniques for Social Analytics
Applications of Big Data Techniques for Social Analytics
Dickson Lukose
 
The Role of Artificial Intelligence in Corporate Innovation
The Role of Artificial Intelligence in Corporate InnovationThe Role of Artificial Intelligence in Corporate Innovation
The Role of Artificial Intelligence in Corporate Innovation
Dickson Lukose
 
GraphConnect SF 2013 Keynote
GraphConnect SF 2013 KeynoteGraphConnect SF 2013 Keynote
GraphConnect SF 2013 Keynote
Emil Eifrem
 
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
Dataconomy Media
 
Data Analyst: il top player che tutti desiderano in azienda
Data Analyst: il top player che tutti desiderano in aziendaData Analyst: il top player che tutti desiderano in azienda
Data Analyst: il top player che tutti desiderano in azienda
Data Driven Innovation
 
Big Data and The Future of Insight - Future Foundation
Big Data and The Future of Insight - Future FoundationBig Data and The Future of Insight - Future Foundation
Big Data and The Future of Insight - Future Foundation
Foresight Factory
 
A Picture is Worth 1,000 Rows
A Picture is Worth 1,000 RowsA Picture is Worth 1,000 Rows
A Picture is Worth 1,000 Rows
Neo4j
 
Ingesting click events for analytics
Ingesting click events for analyticsIngesting click events for analytics
Ingesting click events for analytics
Data Driven Innovation
 
GraphDay Stockholm - Fraud Prevention
GraphDay Stockholm - Fraud PreventionGraphDay Stockholm - Fraud Prevention
GraphDay Stockholm - Fraud Prevention
Neo4j
 
Network visualization for financial crime detection
Network visualization for financial crime detectionNetwork visualization for financial crime detection
Network visualization for financial crime detection
Data Driven Innovation
 
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ..."Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
Dataconomy Media
 
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
Precisely
 
Linkurious SDK: Build enterprise-ready graph applications faster
Linkurious SDK: Build enterprise-ready graph applications fasterLinkurious SDK: Build enterprise-ready graph applications faster
Linkurious SDK: Build enterprise-ready graph applications faster
Linkurious
 
Neo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j Graph Data Platform: Making Your Data More IntelligentNeo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j Graph Data Platform: Making Your Data More Intelligent
Neo4j
 
Fraudes Financières: Méthodes de Prévention et Détection
Fraudes Financières: Méthodes de Prévention et DétectionFraudes Financières: Méthodes de Prévention et Détection
Fraudes Financières: Méthodes de Prévention et Détection
Linkurious
 
Hacked: Threats, Trends and the Power of Connected Data
Hacked: Threats, Trends and the Power of Connected DataHacked: Threats, Trends and the Power of Connected Data
Hacked: Threats, Trends and the Power of Connected Data
Neo4j
 
An Overview of the Emerging Graph Landscape (Oct 2013)
An Overview of the Emerging Graph Landscape (Oct 2013)An Overview of the Emerging Graph Landscape (Oct 2013)
An Overview of the Emerging Graph Landscape (Oct 2013)
Emil Eifrem
 
Graph Intelligence: The Essentials for Cybersecurity
Graph Intelligence: The Essentials for CybersecurityGraph Intelligence: The Essentials for Cybersecurity
Graph Intelligence: The Essentials for Cybersecurity
Neo4j
 
Gartner Go to Market Strategy Assumptions
Gartner Go to Market Strategy AssumptionsGartner Go to Market Strategy Assumptions
Gartner Go to Market Strategy Assumptions
Four Quadrant LLC
 
Applications of Big Data Techniques for Social Analytics
Applications of Big Data Techniques for Social Analytics Applications of Big Data Techniques for Social Analytics
Applications of Big Data Techniques for Social Analytics
Dickson Lukose
 
The Role of Artificial Intelligence in Corporate Innovation
The Role of Artificial Intelligence in Corporate InnovationThe Role of Artificial Intelligence in Corporate Innovation
The Role of Artificial Intelligence in Corporate Innovation
Dickson Lukose
 
GraphConnect SF 2013 Keynote
GraphConnect SF 2013 KeynoteGraphConnect SF 2013 Keynote
GraphConnect SF 2013 Keynote
Emil Eifrem
 
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
DN18 | From Counting to Connecting: A Networked and Data-Driven Approach to M...
Dataconomy Media
 
Data Analyst: il top player che tutti desiderano in azienda
Data Analyst: il top player che tutti desiderano in aziendaData Analyst: il top player che tutti desiderano in azienda
Data Analyst: il top player che tutti desiderano in azienda
Data Driven Innovation
 
Big Data and The Future of Insight - Future Foundation
Big Data and The Future of Insight - Future FoundationBig Data and The Future of Insight - Future Foundation
Big Data and The Future of Insight - Future Foundation
Foresight Factory
 
A Picture is Worth 1,000 Rows
A Picture is Worth 1,000 RowsA Picture is Worth 1,000 Rows
A Picture is Worth 1,000 Rows
Neo4j
 
GraphDay Stockholm - Fraud Prevention
GraphDay Stockholm - Fraud PreventionGraphDay Stockholm - Fraud Prevention
GraphDay Stockholm - Fraud Prevention
Neo4j
 
Network visualization for financial crime detection
Network visualization for financial crime detectionNetwork visualization for financial crime detection
Network visualization for financial crime detection
Data Driven Innovation
 
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ..."Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
"Social innovation with (big) data" - Maurice Fransen, Analytics Lead Public ...
Dataconomy Media
 
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
2018 Big Data Trends: Liberate, Integrate, and Trust Your Data
Precisely
 

Viewers also liked (9)

La visualisation au service de la lutte contre la fraude
La visualisation au service de la lutte contre la fraudeLa visualisation au service de la lutte contre la fraude
La visualisation au service de la lutte contre la fraude
Linkurious
 
The 8 most common graph visualization mistakes
The 8 most common graph visualization mistakesThe 8 most common graph visualization mistakes
The 8 most common graph visualization mistakes
Linkurious
 
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaksPanama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Linkurious
 
Using graphs technologies for intelligence analysis.
Using graphs technologies for intelligence analysis. Using graphs technologies for intelligence analysis.
Using graphs technologies for intelligence analysis.
Linkurious
 
Reinforcing AML systems with graph technologies.
Reinforcing AML systems with graph technologies.Reinforcing AML systems with graph technologies.
Reinforcing AML systems with graph technologies.
Linkurious
 
Using graph technologies to fight fraud
Using graph technologies to fight fraudUsing graph technologies to fight fraud
Using graph technologies to fight fraud
Linkurious
 
Graph analysis of the European public tenders
Graph analysis of the European public tendersGraph analysis of the European public tenders
Graph analysis of the European public tenders
Linkurious
 
Linkurious Enterprise: graph visualization platform neo4j
Linkurious Enterprise: graph visualization platform neo4jLinkurious Enterprise: graph visualization platform neo4j
Linkurious Enterprise: graph visualization platform neo4j
Linkurious
 
Visualize Big Graph Data
Visualize Big Graph DataVisualize Big Graph Data
Visualize Big Graph Data
Mathieu Bastian
 
La visualisation au service de la lutte contre la fraude
La visualisation au service de la lutte contre la fraudeLa visualisation au service de la lutte contre la fraude
La visualisation au service de la lutte contre la fraude
Linkurious
 
The 8 most common graph visualization mistakes
The 8 most common graph visualization mistakesThe 8 most common graph visualization mistakes
The 8 most common graph visualization mistakes
Linkurious
 
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaksPanama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Panama papers: how ICIJ used Linkurious to investigate the Mossack Fonseca leaks
Linkurious
 
Using graphs technologies for intelligence analysis.
Using graphs technologies for intelligence analysis. Using graphs technologies for intelligence analysis.
Using graphs technologies for intelligence analysis.
Linkurious
 
Reinforcing AML systems with graph technologies.
Reinforcing AML systems with graph technologies.Reinforcing AML systems with graph technologies.
Reinforcing AML systems with graph technologies.
Linkurious
 
Using graph technologies to fight fraud
Using graph technologies to fight fraudUsing graph technologies to fight fraud
Using graph technologies to fight fraud
Linkurious
 
Graph analysis of the European public tenders
Graph analysis of the European public tendersGraph analysis of the European public tenders
Graph analysis of the European public tenders
Linkurious
 
Linkurious Enterprise: graph visualization platform neo4j
Linkurious Enterprise: graph visualization platform neo4jLinkurious Enterprise: graph visualization platform neo4j
Linkurious Enterprise: graph visualization platform neo4j
Linkurious
 
Visualize Big Graph Data
Visualize Big Graph DataVisualize Big Graph Data
Visualize Big Graph Data
Mathieu Bastian
 
Ad

Similar to Finding answers through visualization (GraphDay Barcelona Feb 2016) (20)

Finding the insights hidden in your graph data
Finding the insights hidden in your graph dataFinding the insights hidden in your graph data
Finding the insights hidden in your graph data
DataStax
 
Graph-based Network & IT Management.
Graph-based Network & IT Management.Graph-based Network & IT Management.
Graph-based Network & IT Management.
Linkurious
 
Graph-based Product Lifecycle Management
Graph-based Product Lifecycle ManagementGraph-based Product Lifecycle Management
Graph-based Product Lifecycle Management
Linkurious
 
UNIT-1 Data Visualization used in daily life
UNIT-1 Data Visualization used in daily lifeUNIT-1 Data Visualization used in daily life
UNIT-1 Data Visualization used in daily life
AadityaRathi4
 
UNIT-1 Data Visualization for the life use
UNIT-1 Data Visualization for the life useUNIT-1 Data Visualization for the life use
UNIT-1 Data Visualization for the life use
AadityaRathi4
 
Matrix Mapper
Matrix MapperMatrix Mapper
Matrix Mapper
aarkentechnologies
 
B040101007012
B040101007012B040101007012
B040101007012
ijceronline
 
10-Hot-Data-Analytics-Tre-8904178.ppsx
10-Hot-Data-Analytics-Tre-8904178.ppsx10-Hot-Data-Analytics-Tre-8904178.ppsx
10-Hot-Data-Analytics-Tre-8904178.ppsx
SangeetaTripathi8
 
Tools for Unstructured Data Analytics
Tools for Unstructured Data AnalyticsTools for Unstructured Data Analytics
Tools for Unstructured Data Analytics
Ravi Teja
 
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
csandit
 
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONSBIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
cscpconf
 
Challenges in business analytics
Challenges in business analyticsChallenges in business analytics
Challenges in business analytics
Miklos Koren
 
Big Data Companies and Apache Software
Big Data Companies and Apache SoftwareBig Data Companies and Apache Software
Big Data Companies and Apache Software
Bob Marcus
 
Challenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographicsChallenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographics
Raffaele de Amicis
 
The Neo4j Data Platform for Today & Tomorrow.pdf
The Neo4j Data Platform for Today & Tomorrow.pdfThe Neo4j Data Platform for Today & Tomorrow.pdf
The Neo4j Data Platform for Today & Tomorrow.pdf
Neo4j
 
JIMS Rohini IT Flash Monthly Newsletter - October Issue
JIMS Rohini IT Flash Monthly Newsletter  - October IssueJIMS Rohini IT Flash Monthly Newsletter  - October Issue
JIMS Rohini IT Flash Monthly Newsletter - October Issue
JIMS Rohini Sector 5
 
Connecting the Dots—How a Graph Database Enables Discovery
Connecting the Dots—How a Graph Database Enables DiscoveryConnecting the Dots—How a Graph Database Enables Discovery
Connecting the Dots—How a Graph Database Enables Discovery
Inside Analysis
 
How to Become a Big Data Professional.pdf
How to Become a Big Data Professional.pdfHow to Become a Big Data Professional.pdf
How to Become a Big Data Professional.pdf
Careervira
 
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
USDSI
 
Detecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and LinkuriousDetecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and Linkurious
Neo4j
 
Finding the insights hidden in your graph data
Finding the insights hidden in your graph dataFinding the insights hidden in your graph data
Finding the insights hidden in your graph data
DataStax
 
Graph-based Network & IT Management.
Graph-based Network & IT Management.Graph-based Network & IT Management.
Graph-based Network & IT Management.
Linkurious
 
Graph-based Product Lifecycle Management
Graph-based Product Lifecycle ManagementGraph-based Product Lifecycle Management
Graph-based Product Lifecycle Management
Linkurious
 
UNIT-1 Data Visualization used in daily life
UNIT-1 Data Visualization used in daily lifeUNIT-1 Data Visualization used in daily life
UNIT-1 Data Visualization used in daily life
AadityaRathi4
 
UNIT-1 Data Visualization for the life use
UNIT-1 Data Visualization for the life useUNIT-1 Data Visualization for the life use
UNIT-1 Data Visualization for the life use
AadityaRathi4
 
10-Hot-Data-Analytics-Tre-8904178.ppsx
10-Hot-Data-Analytics-Tre-8904178.ppsx10-Hot-Data-Analytics-Tre-8904178.ppsx
10-Hot-Data-Analytics-Tre-8904178.ppsx
SangeetaTripathi8
 
Tools for Unstructured Data Analytics
Tools for Unstructured Data AnalyticsTools for Unstructured Data Analytics
Tools for Unstructured Data Analytics
Ravi Teja
 
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
Big Graph : Tools, Techniques, Issues, Challenges and Future Directions
csandit
 
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONSBIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
BIG GRAPH: TOOLS, TECHNIQUES, ISSUES, CHALLENGES AND FUTURE DIRECTIONS
cscpconf
 
Challenges in business analytics
Challenges in business analyticsChallenges in business analytics
Challenges in business analytics
Miklos Koren
 
Big Data Companies and Apache Software
Big Data Companies and Apache SoftwareBig Data Companies and Apache Software
Big Data Companies and Apache Software
Bob Marcus
 
Challenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographicsChallenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographics
Raffaele de Amicis
 
The Neo4j Data Platform for Today & Tomorrow.pdf
The Neo4j Data Platform for Today & Tomorrow.pdfThe Neo4j Data Platform for Today & Tomorrow.pdf
The Neo4j Data Platform for Today & Tomorrow.pdf
Neo4j
 
JIMS Rohini IT Flash Monthly Newsletter - October Issue
JIMS Rohini IT Flash Monthly Newsletter  - October IssueJIMS Rohini IT Flash Monthly Newsletter  - October Issue
JIMS Rohini IT Flash Monthly Newsletter - October Issue
JIMS Rohini Sector 5
 
Connecting the Dots—How a Graph Database Enables Discovery
Connecting the Dots—How a Graph Database Enables DiscoveryConnecting the Dots—How a Graph Database Enables Discovery
Connecting the Dots—How a Graph Database Enables Discovery
Inside Analysis
 
How to Become a Big Data Professional.pdf
How to Become a Big Data Professional.pdfHow to Become a Big Data Professional.pdf
How to Become a Big Data Professional.pdf
Careervira
 
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
15 DATA SCIENCE TRENDS TO RULE IN 2023.pdf
USDSI
 
Detecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and LinkuriousDetecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and Linkurious
Neo4j
 
Ad

More from Linkurious (13)

Webinar: What's new in Linkurious Enterprise 2.8
Webinar: What's new in Linkurious Enterprise 2.8Webinar: What's new in Linkurious Enterprise 2.8
Webinar: What's new in Linkurious Enterprise 2.8
Linkurious
 
What's new in Linkurious Enterprise 2.7
What's new in Linkurious Enterprise 2.7What's new in Linkurious Enterprise 2.7
What's new in Linkurious Enterprise 2.7
Linkurious
 
How to visualize Cosmos DB graph data
How to visualize Cosmos DB graph dataHow to visualize Cosmos DB graph data
How to visualize Cosmos DB graph data
Linkurious
 
GraphTech Ecosystem - part 3: Graph Visualization
GraphTech Ecosystem - part 3: Graph VisualizationGraphTech Ecosystem - part 3: Graph Visualization
GraphTech Ecosystem - part 3: Graph Visualization
Linkurious
 
Getting started with Cosmos DB + Linkurious Enterprise
Getting started with Cosmos DB + Linkurious EnterpriseGetting started with Cosmos DB + Linkurious Enterprise
Getting started with Cosmos DB + Linkurious Enterprise
Linkurious
 
GraphTech Ecosystem - part 2: Graph Analytics
 GraphTech Ecosystem - part 2: Graph Analytics GraphTech Ecosystem - part 2: Graph Analytics
GraphTech Ecosystem - part 2: Graph Analytics
Linkurious
 
GraphTech Ecosystem - part 1: Graph Databases
GraphTech Ecosystem - part 1: Graph DatabasesGraphTech Ecosystem - part 1: Graph Databases
GraphTech Ecosystem - part 1: Graph Databases
Linkurious
 
3 types of fraud graph analytics can help defeat
3 types of fraud graph analytics can help defeat3 types of fraud graph analytics can help defeat
3 types of fraud graph analytics can help defeat
Linkurious
 
Graph analytics in Linkurious Enterprise
Graph analytics in Linkurious EnterpriseGraph analytics in Linkurious Enterprise
Graph analytics in Linkurious Enterprise
Linkurious
 
Visualize the Knowledge Graph and Unleash Your Data
Visualize the Knowledge Graph and Unleash Your DataVisualize the Knowledge Graph and Unleash Your Data
Visualize the Knowledge Graph and Unleash Your Data
Linkurious
 
Detecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and LinkuriousDetecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and Linkurious
Linkurious
 
Graph-powered data lineage in Finance
Graph-powered data lineage in FinanceGraph-powered data lineage in Finance
Graph-powered data lineage in Finance
Linkurious
 
Visualizing an anti-money laundering investigation
Visualizing an anti-money laundering investigationVisualizing an anti-money laundering investigation
Visualizing an anti-money laundering investigation
Linkurious
 
Webinar: What's new in Linkurious Enterprise 2.8
Webinar: What's new in Linkurious Enterprise 2.8Webinar: What's new in Linkurious Enterprise 2.8
Webinar: What's new in Linkurious Enterprise 2.8
Linkurious
 
What's new in Linkurious Enterprise 2.7
What's new in Linkurious Enterprise 2.7What's new in Linkurious Enterprise 2.7
What's new in Linkurious Enterprise 2.7
Linkurious
 
How to visualize Cosmos DB graph data
How to visualize Cosmos DB graph dataHow to visualize Cosmos DB graph data
How to visualize Cosmos DB graph data
Linkurious
 
GraphTech Ecosystem - part 3: Graph Visualization
GraphTech Ecosystem - part 3: Graph VisualizationGraphTech Ecosystem - part 3: Graph Visualization
GraphTech Ecosystem - part 3: Graph Visualization
Linkurious
 
Getting started with Cosmos DB + Linkurious Enterprise
Getting started with Cosmos DB + Linkurious EnterpriseGetting started with Cosmos DB + Linkurious Enterprise
Getting started with Cosmos DB + Linkurious Enterprise
Linkurious
 
GraphTech Ecosystem - part 2: Graph Analytics
 GraphTech Ecosystem - part 2: Graph Analytics GraphTech Ecosystem - part 2: Graph Analytics
GraphTech Ecosystem - part 2: Graph Analytics
Linkurious
 
GraphTech Ecosystem - part 1: Graph Databases
GraphTech Ecosystem - part 1: Graph DatabasesGraphTech Ecosystem - part 1: Graph Databases
GraphTech Ecosystem - part 1: Graph Databases
Linkurious
 
3 types of fraud graph analytics can help defeat
3 types of fraud graph analytics can help defeat3 types of fraud graph analytics can help defeat
3 types of fraud graph analytics can help defeat
Linkurious
 
Graph analytics in Linkurious Enterprise
Graph analytics in Linkurious EnterpriseGraph analytics in Linkurious Enterprise
Graph analytics in Linkurious Enterprise
Linkurious
 
Visualize the Knowledge Graph and Unleash Your Data
Visualize the Knowledge Graph and Unleash Your DataVisualize the Knowledge Graph and Unleash Your Data
Visualize the Knowledge Graph and Unleash Your Data
Linkurious
 
Detecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and LinkuriousDetecting eCommerce Fraud with Neo4j and Linkurious
Detecting eCommerce Fraud with Neo4j and Linkurious
Linkurious
 
Graph-powered data lineage in Finance
Graph-powered data lineage in FinanceGraph-powered data lineage in Finance
Graph-powered data lineage in Finance
Linkurious
 
Visualizing an anti-money laundering investigation
Visualizing an anti-money laundering investigationVisualizing an anti-money laundering investigation
Visualizing an anti-money laundering investigation
Linkurious
 

Recently uploaded (20)

1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
Simran112433
 
FPET_Implementation_2_MA to 360 Engage Direct.pptx
FPET_Implementation_2_MA to 360 Engage Direct.pptxFPET_Implementation_2_MA to 360 Engage Direct.pptx
FPET_Implementation_2_MA to 360 Engage Direct.pptx
ssuser4ef83d
 
VKS-Python Basics for Beginners and advance.pptx
VKS-Python Basics for Beginners and advance.pptxVKS-Python Basics for Beginners and advance.pptx
VKS-Python Basics for Beginners and advance.pptx
Vinod Srivastava
 
Classification_in_Machinee_Learning.pptx
Classification_in_Machinee_Learning.pptxClassification_in_Machinee_Learning.pptx
Classification_in_Machinee_Learning.pptx
wencyjorda88
 
Principles of information security Chapter 5.ppt
Principles of information security Chapter 5.pptPrinciples of information security Chapter 5.ppt
Principles of information security Chapter 5.ppt
EstherBaguma
 
Stack_and_Queue_Presentation_Final (1).pptx
Stack_and_Queue_Presentation_Final (1).pptxStack_and_Queue_Presentation_Final (1).pptx
Stack_and_Queue_Presentation_Final (1).pptx
binduraniha86
 
04302025_CCC TUG_DataVista: The Design Story
04302025_CCC TUG_DataVista: The Design Story04302025_CCC TUG_DataVista: The Design Story
04302025_CCC TUG_DataVista: The Design Story
ccctableauusergroup
 
Data Science Courses in India iim skills
Data Science Courses in India iim skillsData Science Courses in India iim skills
Data Science Courses in India iim skills
dharnathakur29
 
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
ThanushsaranS
 
183409-christina-rossetti.pdfdsfsdasggsag
183409-christina-rossetti.pdfdsfsdasggsag183409-christina-rossetti.pdfdsfsdasggsag
183409-christina-rossetti.pdfdsfsdasggsag
fardin123rahman07
 
Flip flop presenation-Presented By Mubahir khan.pptx
Flip flop presenation-Presented By Mubahir khan.pptxFlip flop presenation-Presented By Mubahir khan.pptx
Flip flop presenation-Presented By Mubahir khan.pptx
mubashirkhan45461
 
Developing Security Orchestration, Automation, and Response Applications
Developing Security Orchestration, Automation, and Response ApplicationsDeveloping Security Orchestration, Automation, and Response Applications
Developing Security Orchestration, Automation, and Response Applications
VICTOR MAESTRE RAMIREZ
 
Defense Against LLM Scheming 2025_04_28.pptx
Defense Against LLM Scheming 2025_04_28.pptxDefense Against LLM Scheming 2025_04_28.pptx
Defense Against LLM Scheming 2025_04_28.pptx
Greg Makowski
 
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnTemplate_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
cegiver630
 
How to join illuminati Agent in uganda call+256776963507/0741506136
How to join illuminati Agent in uganda call+256776963507/0741506136How to join illuminati Agent in uganda call+256776963507/0741506136
How to join illuminati Agent in uganda call+256776963507/0741506136
illuminati Agent uganda call+256776963507/0741506136
 
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
James Francis Paradigm Asset Management
 
Ch3MCT24.pptx measure of central tendency
Ch3MCT24.pptx measure of central tendencyCh3MCT24.pptx measure of central tendency
Ch3MCT24.pptx measure of central tendency
ayeleasefa2
 
Simple_AI_Explanation_English somplr.pptx
Simple_AI_Explanation_English somplr.pptxSimple_AI_Explanation_English somplr.pptx
Simple_AI_Explanation_English somplr.pptx
ssuser2aa19f
 
computer organization and assembly language.docx
computer organization and assembly language.docxcomputer organization and assembly language.docx
computer organization and assembly language.docx
alisoftwareengineer1
 
Geometry maths presentation for begginers
Geometry maths presentation for begginersGeometry maths presentation for begginers
Geometry maths presentation for begginers
zrjacob283
 
1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
1. Briefing Session_SEED with Hon. Governor Assam - 27.10.pdf
Simran112433
 
FPET_Implementation_2_MA to 360 Engage Direct.pptx
FPET_Implementation_2_MA to 360 Engage Direct.pptxFPET_Implementation_2_MA to 360 Engage Direct.pptx
FPET_Implementation_2_MA to 360 Engage Direct.pptx
ssuser4ef83d
 
VKS-Python Basics for Beginners and advance.pptx
VKS-Python Basics for Beginners and advance.pptxVKS-Python Basics for Beginners and advance.pptx
VKS-Python Basics for Beginners and advance.pptx
Vinod Srivastava
 
Classification_in_Machinee_Learning.pptx
Classification_in_Machinee_Learning.pptxClassification_in_Machinee_Learning.pptx
Classification_in_Machinee_Learning.pptx
wencyjorda88
 
Principles of information security Chapter 5.ppt
Principles of information security Chapter 5.pptPrinciples of information security Chapter 5.ppt
Principles of information security Chapter 5.ppt
EstherBaguma
 
Stack_and_Queue_Presentation_Final (1).pptx
Stack_and_Queue_Presentation_Final (1).pptxStack_and_Queue_Presentation_Final (1).pptx
Stack_and_Queue_Presentation_Final (1).pptx
binduraniha86
 
04302025_CCC TUG_DataVista: The Design Story
04302025_CCC TUG_DataVista: The Design Story04302025_CCC TUG_DataVista: The Design Story
04302025_CCC TUG_DataVista: The Design Story
ccctableauusergroup
 
Data Science Courses in India iim skills
Data Science Courses in India iim skillsData Science Courses in India iim skills
Data Science Courses in India iim skills
dharnathakur29
 
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
CTS EXCEPTIONSPrediction of Aluminium wire rod physical properties through AI...
ThanushsaranS
 
183409-christina-rossetti.pdfdsfsdasggsag
183409-christina-rossetti.pdfdsfsdasggsag183409-christina-rossetti.pdfdsfsdasggsag
183409-christina-rossetti.pdfdsfsdasggsag
fardin123rahman07
 
Flip flop presenation-Presented By Mubahir khan.pptx
Flip flop presenation-Presented By Mubahir khan.pptxFlip flop presenation-Presented By Mubahir khan.pptx
Flip flop presenation-Presented By Mubahir khan.pptx
mubashirkhan45461
 
Developing Security Orchestration, Automation, and Response Applications
Developing Security Orchestration, Automation, and Response ApplicationsDeveloping Security Orchestration, Automation, and Response Applications
Developing Security Orchestration, Automation, and Response Applications
VICTOR MAESTRE RAMIREZ
 
Defense Against LLM Scheming 2025_04_28.pptx
Defense Against LLM Scheming 2025_04_28.pptxDefense Against LLM Scheming 2025_04_28.pptx
Defense Against LLM Scheming 2025_04_28.pptx
Greg Makowski
 
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnTemplate_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
Template_A3nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn
cegiver630
 
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
Safety Innovation in Mt. Vernon A Westchester County Model for New Rochelle a...
James Francis Paradigm Asset Management
 
Ch3MCT24.pptx measure of central tendency
Ch3MCT24.pptx measure of central tendencyCh3MCT24.pptx measure of central tendency
Ch3MCT24.pptx measure of central tendency
ayeleasefa2
 
Simple_AI_Explanation_English somplr.pptx
Simple_AI_Explanation_English somplr.pptxSimple_AI_Explanation_English somplr.pptx
Simple_AI_Explanation_English somplr.pptx
ssuser2aa19f
 
computer organization and assembly language.docx
computer organization and assembly language.docxcomputer organization and assembly language.docx
computer organization and assembly language.docx
alisoftwareengineer1
 
Geometry maths presentation for begginers
Geometry maths presentation for begginersGeometry maths presentation for begginers
Geometry maths presentation for begginers
zrjacob283
 

Finding answers through visualization (GraphDay Barcelona Feb 2016)

  • 1. Finding answers through graph visualization. SAS founded in 2013 in Paris | http://linkurio.us | @linkurious
  • 2. Introduction. ● Linkurious is a graph visualization startup. ● We help companies understand graph data. ● Linkurious Enterprise, an enterprise-ready graph visualization application (out-of-the-box). ● Linkurious.js, a JS library to build custom graph visualization applications. ● 200+ customers (NASA, French Ministry of Finances, Cisco).
  • 3. Graph dbs unlock connected data. ● The graph schema is a natural fit for highly connected, evolving datasets. ● Fast traversal performances. ● Languages dedicated to graph queries (Cypher). ● Cybersecurity, medical research, fraud, anti- terrorism, network management, etc.
  • 4. But current tools are not adapted. ● Traditional BI and data visualizations solutions are not compatible with graph databases. ● Representing data as pie charts and histograms doesn’t provide insights into connections. ● There are graph tools designed for developers/data scientists but no tools for business users.
  • 5. We make graphs easy to understand. ● Easy to use interfaces designed for non technical users. ● Ability to uncover hidden relationships, explore connections, extract insights. ● Compatible with graph dbs like Neo4j.
  • 6. Anti-money laundering investigation: Swiss Leaks. Background Analysing the bank accounts and companies connected to Emilio Botin, Former Executive Chairman of Spain’s Grupo Santander (learn more) ICIJ is an international consortium of data journalists. Problem Analyse financial records from HSBC to find evidence of tax fraud or corruption. Benefit The journalists are able to analyse data to verify wrongdoing quickly and accurately.
  • 7. Knowledge management @ NASA. Background Navigating the network of authors, documents, organizations and concepts linked to “High pressure shutoff valve” (learn more) NASA is the United States government agency responsible for the civilian space program. Problem Leverage an existing lessons learned database to improve the success of projects. Benefit More natural way to search content results in better insights derived from data.
  • 8. Network management. Background View the impact of a server failure on the IT network (learn more) US internet company in the retail industry. Problem Impact of a failure in IT network is hard to understand and to communicate. Benefit Visualization helps communicate complex results and drive action.
  • 9. Help people see and understand the connections in their data.
  • 10. How it works. Data sources Ingest Analyse Business analysts Build apps Developers
  • 11. ● Compatible with Neo4j 2.X (and HA). ● Compatible with Windows/Linux/Mac (Java 8 or later). ● Support of all modern browsers. ● Built with scalable robust open-source technologies (Node.js, ElasticSearch). ● Linkurious Enterprise server provides a set of high level services (search, security, graph traversals, graph visualization) accessible via REST API. ● Integrate graph visualizations into 3rd party apps via a widget or via our linkurious.js JS graph visualization library. How it (really) works. STORAGESERVER Visualization API Search API Graph API Security layer Neo4j FRONT-END Widget linkurious.js Security API SEARCH Elasticsearch Linkurious Enterprise